A Novel Scheduling Strategy for Controllable Loads with Power-Efficiency Characteristics
Date of Original Version
This paper proposes a novel scheduling strategy to dispatch controllable loads with nonlinear power-efficiency characteristics. Due to these characteristics, the controllable loads, such as desalination devices, suffer from efficiency loss when participating in day-ahead and real-time power regulations. The existing two-stage scheduling algorithms ignore the real-time efficiency loss at the day-ahead stage. In order to consider the real-time efficiency loss, a complex single-stage scheduling model with numerous optimization variables is required. This will greatly increase the computation burden to the optimization algorithm. To deal with this issue, a novel efficiency threshold-based control method is proposed in this paper. The proposed method only has three efficiency thresholds, thus the number of optimization variables is significantly reduced. Based on this method, a novel energy scheduling framework is designed for the controllable loads with power-efficiency characteristics. Numerical simulations indicate that the proposed approach can utilize the power regulation flexibility of controllable loads in both day-ahead and real-time stages to reduce the operation cost.
IEEE Transactions on Smart Grid
Wei, Fanrong, Zhiqiang Wan, Haibo He, Xiangning Lin, and Yuanzheng Li. "A Novel Scheduling Strategy for Controllable Loads with Power-Efficiency Characteristics." IEEE Transactions on Smart Grid 11, 3 (2020): 2151-2161. doi:10.1109/TSG.2019.2948370.